检索结果-南通市图书馆

The Influence of Iron on Ammonium Ion Generation from Nitrate Ion in Liquid Phase

Plasma Science and technology 2005年第1期7卷 2673-2677页

作者： Youhei Kinoshita Naoki Okumura Kazunori Takashima Shinji Katsura Akira Mizuno department of ecological engineering toyohashi university of technology 1-1 Hibarigaoka Tempaku-cho Toyohashi Aichi 441-8580 JapanDepartment of Ecological Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi Aichi 441-8580 JapanDepartment of Ecological Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi Aichi 441-8580 JapanDepartment of Ecological Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi Aichi 441-8580 JapanDepartment of Ecological Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku-cho Toyohashi Aichi 441-8580 Japan

Flue gas cleaning in discharge plasma process has been studied intensivelyand we have tried to remove the NO_x and SO_2 using the wet-type plasma reactor. In this system, NOis oxidized to NO_2 and absorbed as NO_3^-, and SO_2 is absorbed as SO_3^(2-) and oxidized in theliquid to SO_4^(2-). But the concentration of NO_3^- was saturated and the absorption of NO_x andSO_2 was inhibited. Then, the reduction of NO_3^- in the liquid is required. We examined thereductive reaction of NO_3^- to NH_4^+ using discharge above the liquid surface then the pH value ofthe liquid was changed to alkaline slightly. When the Fe plate was used as a ground electrode inthe liquid, NH_4^+ was generated. Then, the relation between the generation of NH_4^+ and Fe ions(Fe^(2+) and Fe^(3+)) was studied. When Fe^(2+) was presented in the liquid, NH_4^+ was generatedand Fe^(2+) was oxidized to Fe^(3+). Fe^(2+) is required to generate NH_4^+ from NO_3^-. When NH_4^+was generated from NO_3^-, both the calculated pH value from NH_4^+ concentration and the measuredpH value indicated a similar value. From these results, the discharge above the liquid surface waseffective to convert NO_3^- to NH_4^+ and the reductive reaction leads to more absorption of NO_3^-.These results showed that the wet-type plasma reactor is effective for NO_x and SO_2 removalsystem.

关键词： discharge plasma reduction nitric acid ammonium

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Advancements in Liver Tumor Detection:A Comprehensive Review of Various Deep Learning Models

引用

Computer Modeling in engineering & Sciences 2025年第1期142卷 91-122页

作者： Shanmugasundaram Hariharan D.Anandan Murugaperumal Krishnamoorthy Vinay Kukreja Nitin Goyal Shih-Yu Chen Deptartment of Artificial Intelligence and Data Science Vardhaman College of EngineeringHyderabad501218India Deptartment of CSE V.S.B College of EngineeringKarur639111India Deptartment of Electrical and Electronics engineering Vardhaman College of EngineeringHyderabad501218India Centre for Research Impact&Outcome Chitkara UniversityRajpura140401PunjabIndia department of Computer Science and engineering School of Engineering and TechnologyCentral University of HaryanaMahendergarh123031HaryanaIndia department of Computer Science and Information engineering National Yunlin University of Science and TechnologyYunlin64002Taiwan Intelligence Recognition Industry Service Research Center National Yunlin University of Science and TechnologyYunlin64002Taiwan

Liver cancer remains a leading cause of mortality worldwide,and precise diagnostic tools are essential for effective treatment *** Tumors(LTs)vary significantly in size,shape,and location,and can present with tissues of similar intensities,making automatically segmenting and classifying LTs from abdominal tomography images crucial and *** review examines recent advancements in Liver Segmentation(LS)and Tumor Segmentation(TS)algorithms,highlighting their strengths and limitations regarding precision,automation,and *** metrics are utilized to assess key detection algorithms and analytical methods,emphasizing their effectiveness and relevance in clinical *** review also addresses ongoing challenges in liver tumor segmentation and identification,such as managing high variability in patient data and ensuring robustness across different imaging *** suggests directions for future research,with insights into technological advancements that can enhance surgical planning and diagnostic accuracy by comparing popular *** paper contributes to a comprehensive understanding of current liver tumor detection techniques,provides a roadmap for future innovations,and improves diagnostic and therapeutic outcomes for liver cancer by integrating recent progress with remaining challenges.

关键词： Liver tumor detection liver tumor segmentation image processing liver tumor diagnosis feature extraction tumor classification deep learning machine learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Prediction of Shear Bond Strength of Asphalt Concrete Pavement Using Machine Learning Models and Grid Search Optimization Technique

引用

Computer Modeling in engineering & Sciences 2025年第1期142卷 691-712页

作者： Quynh-Anh Thi Bui Dam Duc Nguyen Hiep Van Le Indra Prakash Binh Thai Pham Civil engineering department University of Transport Technology54 Trieu KhucThanh XuanHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Determination of Shear Bond strength(SBS)at interlayer of double-layer asphalt concrete is crucial in flexible pavement *** study used three Machine Learning(ML)models,including K-Nearest Neighbors(KNN),Extra Trees(ET),and Light Gradient Boosting Machine(LGBM),to predict SBS based on easily determinable input ***,the Grid Search technique was employed for hyper-parameter tuning of the ML models,and cross-validation and learning curve analysis were used for training the *** models were built on a database of 240 experimental results and three input variables:temperature,normal pressure,and tack coat *** validation was performed using three statistical criteria:the coefficient of determination(R2),the Root Mean Square Error(RMSE),and the mean absolute error(MAE).Additionally,SHAP analysis was also used to validate the importance of the input variables in the prediction of the *** show that these models accurately predict SBS,with LGBM providing outstanding ***(Shapley Additive explanation)analysis for LGBM indicates that temperature is the most influential factor on ***,the proposed ML models can quickly and accurately predict SBS between two layers of asphalt concrete,serving practical applications in flexible pavement structure design.

关键词： Shear bond asphalt pavement grid search optimization machine learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Effect of Nb–V microalloying on the hot deformation behavior of medium Mn steels

引用

International Journal of Minerals,Metallurgy and Materials 2025年第02期 360-368页

作者： Yumeng Wang Qinyi Guo Bin Hu Haiwen Luo School of Metallurgical and ecological engineering University of Science and Technology Beijing

The influence of Nb–V microalloying on the hot deformation behavior and microstructures of medium Mn steel(MMS) was investigated by uniaxial hot compression tests. By establishing the constitutive equations for simulating the measured flow curves, we successfully constructed deformation activation energy(Q) maps and processing maps for identifying the region of flow instability. We concluded the following consequences of Nb–V alloying for MMS.(i) The critical strain increases and the increment diminishes with the increasing deformation temperature, suggesting that NbC precipitates more efficiently retard dynamic recrystallization(DRX) in MMS compared with solute Nb.(ii) The deformation activation energy of MMS is significantly increased and even higher than that of some reported high Mn steels, suggesting that its ability to retard DRX is greater than that of the high Mn content.(iii) The hot workability of MMS is improved by narrowing the hot processing window for the unstable flow stress, in which fine recrystallized and coarse unrecrystallized grains are present.

关键词：

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Inspires effective alternatives to backpropagation:predictive coding helps understand and build learning

引用

Neural Regeneration Research 2025年第11期20卷 3215-3216页

作者： Zhenghua Xu Miao Yu Yuhang Song School of Health Sciences and Biomedical engineering Hebei University of TechnologyTianjinChina department of Computer Science University of OxfordOxfordUK

Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human *** enable learning by brain and machine,it is essential to accurately identify and correct the prediction errors,referred to as credit assignment(Lillicrap et al.,2020).It is critical to develop artificial intelligence by understanding how the brain deals with credit assignment in neuroscience.

关键词： assignment learning enable

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Novel Sterilization Method Using Pulsed Discharge Plasma

引用

Chinese Physics Letters 1998年第1期15卷 41-42页

作者： WANG Xi-lu Akira Mizuno Shijin Katsura department of ecological engineering Toyohashi University of TechnologyTempaku-choToyohashi441Japan Institute of Electrostatics Northeast Normal UniversityChangchun 130024

Pulsed discharge plasma(PDP)has been used to kill bacteria and the curves of the survival rate of bacteria against treatment time are *** structural change in the cell membrane is caused by PDP and the cell is thus **... 详细信息

关键词： PDP Plasma treatment

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

An Enhanced Lung Cancer Detection Approach Using Dual-Model Deep Learning Technique

引用

Computer Modeling in engineering & Sciences 2025年第1期142卷 835-867页

作者： Sumaia Mohamed Elhassan Saad Mohamed Darwish Saleh Mesbah Elkaffas department of Information technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandria21526Egypt College of Computing and Information technology Arab Academy for ScienceTechnology and Maritime TransportAlexandriaP.O.Box 1029Egypt

Lung cancer continues to be a leading cause of cancer-related deaths worldwide,emphasizing the critical need for improved diagnostic *** detection of lung tumors significantly increases the chances of successful treatment and ***,current diagnostic methods often fail to detect tumors at an early stage or to accurately pinpoint their location within the lung ***-model deep learning technologies for lung cancer detection,while beneficial,cannot capture the full range of features present in medical imaging data,leading to incomplete or inaccurate ***,it may not be robust enough to handle the wide variability in medical images due to different imaging conditions,patient anatomy,and tumor *** overcome these disadvantages,dual-model or multi-model approaches can be *** research focuses on enhancing the detection of lung cancer by utilizing a combination of two learning models:a Convolutional Neural Network(CNN)for categorization and the You Only Look Once(YOLOv8)architecture for real-time identification and pinpointing of *** automatically learn to extract hierarchical features from raw image data,capturing patterns such as edges,textures,and complex structures that are crucial for identifying lung ***8 incorporates multiscale feature extraction,enabling the detection of tumors of varying sizes and scales within a single *** is particularly beneficial for identifying small or irregularly shaped tumors that may be challenging to ***,through the utilization of cutting-edge data augmentation methods,such as Deep Convolutional Generative Adversarial Networks(DCGAN),the suggested approach can handle the issue of limited data and boost the models’ability to learn from diverse and comprehensive *** combined method not only improved accuracy and localization but also ensured efficient real-time processing,which is crucial for practical clinical applicati

关键词： Lung cancer detection dual-model deep learning technique data augmentation CNN YOLOv8

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Exploring Nanoscale Perovskite Materials for Next‑Generation Photodetectors:A Comprehensive Review and Future Directions

引用

Nano-Micro Letters 2025年第2期17卷 46-108页

作者： Xin Li Sikandar Aftab Maria Mukhtar Fahmid Kabir Muhammad Farooq Khan Hosameldin Helmy Hegazy Erdi Akman State Key Laboratory of Pulsed Power Laser technology National University of Defense TechnologyHefei 230037AnhuiPeople’s Republic of China Anhui Laboratory of Advanced Laser technology Hefei 230037AnhuiPeople’s Republic of China Nanhu Laser Laboratory Changsha 410015HunanPeople’s Republic of China department of Semiconductor Systems engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea department of Artificial Intelligence and Robotics Sejong UniversitySeoul 05006Republic of Korea School of engineering Science Simon Fraser UniversityBurnabyBC V5A 1S6Canada department of Electrical engineering Sejong UniversitySeoul 05006South Korea department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Central Labs King Khalid UniversityAlQura’aP.O.Box 96061413 AbhaSaudi Arabia Scientific and Technological Research and Application Center Karamanoglu Mehmetbey University70100 KaramanTurkey

The rapid advancement of nanotechnology has sparked much interest in applying nanoscale perovskite materials for photodetection *** materials are promising candidates for next-generation photodetectors(PDs)due to their unique optoelectronic properties and flexible synthesis *** review explores the approaches used in the development and use of optoelectronic devices made of different nanoscale perovskite architectures,including quantum dots,nanosheets,nanorods,nanowires,and *** a thorough analysis of recent literature,the review also addresses common issues like the mechanisms underlying the degradation of perovskite PDs and offers perspectives on potential solutions to improve stability and scalability that impede widespread *** addition,it highlights that photodetection encompasses the detection of light fields in dimensions other than light intensity and suggests potential avenues for future research to overcome these obstacles and fully realize the potential of nanoscale perovskite materials in state-of-the-art photodetection *** review provides a comprehensive overview of nanoscale perovskite PDs and guides future research efforts towards improved performance and wider applicability,making it a valuable resource for researchers.

关键词： Nanoscale perovskites Photodetectors Nanosheets Nanorods Nanowires Quantum dots Nanocrystals

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Simultaneous Oxidization of NO_x and SO_2 by a New Non-thermal Plasma Reactor Enhanced by Catalyst and Additive

引用

Plasma Science and technology 2008年第1期10卷 53-56页

作者： Heejoon KIM 韩军 Yuhei SAKAGUCHI Wataru MINAMI department of ecological engineering Toyohashi University of Technology Hnbei Province Key Laboratory of Coal Conversion and New Carbon Materials Wuhan University of Science and Technology

The non-thermal plasma as one of the most promising technologies for removing NOx and SO2 has attrm^ted much attention. In this study, a new plasma reactor combined with catalyst and additive was developed to effectively oxidize and remove NOx and SO2 in the flue gas. The experimental results showed that TiO2 could improve the oxidation efficiency of SO2 in the case of applying plasma while having a negative effect on the oxidation process of NO and NOx. With the addition of NH3, the oxidation rates of NOx, NO and SO2 were slightly increased. However, the effect of adding NH3 on NOx oxidation was negative when the temperature was above 200℃.

关键词： additive catalyst NOx SO2 oxidation rate plasma

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Fabrication of Shape-Controlled Au Nanoparticles in a TiO_2-Containing Mesoporous Template Using UV Irradiation and Their Shape-Dependent Photocatalysis

引用

Journal of Materials Science & technology 2014年第1期30卷 8-12页

作者： Teruhisa Okuno Go Kawamura Hiroyuki Muto Atsunori Matsuda department of Environmental and Life Sciences Toyohashi University of Technology department of Electrical and Electronic Information engineering Toyohashi University of Technology

A SiO2-TiO2 template with ordered tubular mesochannels has been prepared by the sol-gel method. Au nanorods are deposited in the tubular mesochannels of the SiO2-TiO2 template, and the shape of Au is changed from nanorods to nanospheres by ultraviolet irradiation during thermal deposition. The photocatalytic activity of mesoporous SiO2-TiO2 with/without Au nanorods/nanospheres is evaluated. Deposition of Au in the mesoporous SiO2-TiO2 template enhances the photocatalysis of TiO2. Interestingly, the sample containing Au nanorods exhibits higher photocatalytic activity than that with Au nanospheres. Photocatalysis by exciting surface plasmon resonance is not detected in the composite samples regardless of the shape of the deposited Au nanoparticles.

关键词： Mesoporous Titania Gold Shape control Photocatalysis Surface plasmon resonance

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：